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Zixuan Wen
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2020 – today
- 2024
- [j3]Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang
, Boning Tong
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97: 103231 (2024) - [c3]Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen:
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. ISBI 2024: 1-5 - [i1]Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR abs/2410.01795 (2024) - 2023
- [j2]Zixuan Wen
Integrating 2P-CFAR Correlation Filter and IMM Model for VideoSAR Shadow Tracking. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j1]Jingxuan Bao
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage 280: 120346 (2023) - [c2]Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen:
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 227-240 - 2022
- [c1]Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM 2022: 541-548
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